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  2. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.

  3. Few-shot learning - Wikipedia

    en.wikipedia.org/wiki/Few-shot_learning

    Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)

  4. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. The largest and most capable LLMs are generative pretrained transformers (GPTs).

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Some examples of commonly used question answering datasets include TruthfulQA, Web Questions, TriviaQA, and SQuAD. [126] Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1]

  6. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    An instance of GPT-2 writing a paragraph based on a prompt from its own Wikipedia article in February 2021. Generative Pre-trained Transformer 2 ("GPT-2") is an unsupervised transformer language model and the successor to OpenAI's original GPT model ("GPT-1"). GPT-2 was announced in February 2019, with only limited demonstrative versions ...

  7. Wikipedia:Large language models - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Large_language...

    If using an LLM as a writing advisor, i.e. asking for outlines, how to improve paragraphs, criticism of text, etc., editors should remain aware that the information it gives is unreliable. If using an LLM for copyediting, summarization, and paraphrasing, editors should remain aware that it may not properly detect grammatical errors, interpret ...

  8. Free writing - Wikipedia

    en.wikipedia.org/wiki/Free_writing

    Free writing is traditionally regarded as a prewriting technique practiced in academic environments, in which a person writes continuously for a set period of time with limited concern for rhetoric, conventions, and mechanics, sometimes working from a specific prompt provided by a teacher. [1] While free writing often produces raw, or even ...

  9. Markdown - Wikipedia

    en.wikipedia.org/wiki/Markdown

    For example, Markdown plugins exist for every major blogging platform. [ 12 ] While Markdown is a minimal markup language and is read and edited with a normal text editor , there are specially designed editors that preview the files with styles, which are available for all major platforms.